Ivor Spence

867 total citations
59 papers, 457 citations indexed

About

Ivor Spence is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Ivor Spence has authored 59 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 26 papers in Computer Networks and Communications and 26 papers in Information Systems. Recurrent topics in Ivor Spence's work include Advanced Software Engineering Methodologies (17 papers), Parallel Computing and Optimization Techniques (15 papers) and Service-Oriented Architecture and Web Services (13 papers). Ivor Spence is often cited by papers focused on Advanced Software Engineering Methodologies (17 papers), Parallel Computing and Optimization Techniques (15 papers) and Service-Oriented Architecture and Web Services (13 papers). Ivor Spence collaborates with scholars based in United Kingdom, Japan and Italy. Ivor Spence's co-authors include Peter Kilpatrick, Dimitrios S. Nikolopoulos, Cheol-Ho Hong, Blesson Varghese, Charles J. Gillan, Rehmat Ullah, Rabih Bashroush, Paul Harvey, Alexander Schuchinsky and Ira Assent and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Communications Magazine and ACM Computing Surveys.

In The Last Decade

Ivor Spence

54 papers receiving 425 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ivor Spence United Kingdom 10 225 220 193 91 52 59 457
Myungho Lee South Korea 12 100 0.4× 141 0.6× 126 0.7× 80 0.9× 49 0.9× 52 408
Edson Borin Brazil 13 332 1.5× 147 0.7× 130 0.7× 330 3.6× 91 1.8× 101 603
Deepak Narayanan United States 7 234 1.0× 335 1.5× 142 0.7× 132 1.5× 273 5.3× 16 636
Martin Becker Germany 9 46 0.2× 106 0.5× 103 0.5× 55 0.6× 41 0.8× 29 286
Weixing Ji China 11 271 1.2× 74 0.3× 59 0.3× 223 2.5× 43 0.8× 62 397
Anjali Sardana India 11 254 1.1× 215 1.0× 168 0.9× 19 0.2× 43 0.8× 40 469
Laércio Lima Pilla Brazil 15 316 1.4× 106 0.5× 97 0.5× 345 3.8× 44 0.8× 46 568
Nipun Arora United States 12 370 1.6× 110 0.5× 153 0.8× 140 1.5× 22 0.4× 38 550
Hannes Payer Austria 13 245 1.1× 90 0.4× 80 0.4× 202 2.2× 44 0.8× 34 400

Countries citing papers authored by Ivor Spence

Since Specialization
Citations

This map shows the geographic impact of Ivor Spence's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ivor Spence with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivor Spence more than expected).

Fields of papers citing papers by Ivor Spence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivor Spence. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ivor Spence. The network helps show where Ivor Spence may publish in the future.

Co-authorship network of co-authors of Ivor Spence

This figure shows the co-authorship network connecting the top 25 collaborators of Ivor Spence. A scholar is included among the top collaborators of Ivor Spence based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivor Spence. Ivor Spence is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tian, Xing, Erfan Loweimi, Chi Ho Chan, et al.. (2024). Multi‐modal video search by examples—A video quality impact analysis. IET Computer Vision. 18(7). 1017–1033.
2.
Spence, Ivor, et al.. (2024). Multi Modal Fusion for Video Retrieval based on CLIP Guide Feature Alignment. Research Portal (Queen's University Belfast). 45–50.
3.
Ullah, Rehmat, et al.. (2024). EcoFed: Efficient Communication for DNN Partitioning-Based Federated Learning. IEEE Transactions on Parallel and Distributed Systems. 35(3). 377–390. 4 indexed citations
4.
Kilpatrick, Peter, et al.. (2024). PiPar: Pipeline parallelism for collaborative machine learning. Journal of Parallel and Distributed Computing. 193. 104947–104947. 1 indexed citations
5.
Spence, Ivor, et al.. (2024). Residual feature decomposition and multi-task learning-based variation-invariant face recognition. Neural Computing and Applications. 36(32). 20147–20166.
6.
Spence, Ivor, et al.. (2024). RetinaLiteNet: A Lightweight Transformer based CNN for Retinal Feature Segmentation. Research Portal (Queen's University Belfast). 2454–2463. 2 indexed citations
7.
McAllister, Patrick, et al.. (2023). Designing Multimodal Video Search by Examples (MVSE) user interfaces: UX requirements elicitation and insights from semi-structured interviews. Ulster University Research Portal (Ulster University). 1–8. 2 indexed citations
8.
Sensi, Daniele De, et al.. (2021). Power Log’n’Roll: Power-Efficient Localized Rollback for MPI Applications Using Message Logging Protocols. IEEE Transactions on Parallel and Distributed Systems. 33(6). 1276–1288. 2 indexed citations
9.
Kilpatrick, Peter, et al.. (2021). NEUKONFIG: reducing edge service downtime when repartitioning DNNs. Research Portal (Queen's University Belfast). 4 indexed citations
10.
Gillan, Charles J., et al.. (2020). Comparing regression and neural network techniques for personalized predictive analytics to promote lung protective ventilation in Intensive Care Units. Computers in Biology and Medicine. 126. 104030–104030. 16 indexed citations
11.
Hong, Cheol-Ho, Ivor Spence, & Dimitrios S. Nikolopoulos. (2017). FairGV: Fair and Fast GPU Virtualization. IEEE Transactions on Parallel and Distributed Systems. 28(12). 3472–3485. 24 indexed citations
12.
Georgakoudis, Giorgis, Charles J. Gillan, Ivor Spence, et al.. (2016). NanoStreams: Codesigned microservers for edge analytics in real time. Research Portal (Queen's University Belfast). 180–187. 3 indexed citations
13.
Spence, Ivor, M. P. Scott, & Charles J. Gillan. (2009). Enabling science through emerging HPC technologies: accelerating numerical quadrature using a GPU. Research Portal (Queen's University Belfast). 385–388.
14.
Spence, Ivor. (2008). tts: A SAT-Solver for Small, Difficult Instances. 4(2-4). 173–190. 4 indexed citations
15.
Gillan, Charles J., et al.. (2007). Challenges in the Application of Feature Modelling in Fixed Line Telecommunications. UEL Research Repository (University of East London). 141–148. 5 indexed citations
16.
Spence, Ivor, et al.. (2007). Requirements Modelling and Design Notations for Software Product Lines. UEL Research Repository (University of East London). 27–35. 4 indexed citations
17.
Brown, Tony N., et al.. (2003). Managing Component Variability within Embedded Software Product Lines via Transformational Code Generation. Research Portal (Queen's University Belfast). 1 indexed citations
18.
19.
Spence, Ivor, et al.. (1991). Customers do not want frozen specifications. Software Engineering Journal. 6(4). 175–175. 8 indexed citations
20.
Spence, Ivor, et al.. (1970). Generation Of Software Tests From Specifications. WIT transactions on information and communication technologies. 9. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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